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LiquidAI: LFM2.5-1.2B-Thinking (free)
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Match confidence: UnmatchedSource type: openrouter_only
Context window
32.8K
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- liquid/lfm-2.5-1.2b-thinking:free
- OpenRouter ID
- liquid/lfm-2.5-1.2b-thinking:free
- Canonical slug
- liquid/lfm-2.5-1.2b-thinking-20260120
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
Description
LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is designed to provide higher-quality “thinking” responses in a small 1.2B model.
Raw fields snapshot
{
"id": "liquid/lfm-2.5-1.2b-thinking:free",
"name": "LiquidAI: LFM2.5-1.2B-Thinking (free)",
"description": "LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is designed to provide higher-quality “thinking” responses in a small 1.2B model.",
"created": 1768927527,
"canonical_slug": "liquid/lfm-2.5-1.2b-thinking-20260120",
"hugging_face_id": "LiquidAI/LFM2.5-1.2B-Thinking",
"source_type": "openrouter_only",
"context_length": 32768,
"max_completion_tokens": null,
"is_moderated": false,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "Other",
"instruct_type": null
},
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"modality": "text->text",
"tokenizer": "Other",
"instruct_type": null,
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"max_tokens",
"min_p",
"presence_penalty",
"reasoning",
"repetition_penalty",
"seed",
"stop",
"temperature",
"top_k",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"frequency_penalty": null
},
"per_request_limits": null,
"top_provider": {
"context_length": 32768,
"max_completion_tokens": null,
"is_moderated": false
},
"pricing": {
"prompt": "0",
"completion": "0"
},
"PPM": {
"prompt": 0,
"completion": 0
},
"openrouter_raw": {
"id": "liquid/lfm-2.5-1.2b-thinking:free",
"canonical_slug": "liquid/lfm-2.5-1.2b-thinking-20260120",
"hugging_face_id": "LiquidAI/LFM2.5-1.2B-Thinking",
"name": "LiquidAI: LFM2.5-1.2B-Thinking (free)",
"created": 1768927527,
"description": "LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is designed to provide higher-quality “thinking” responses in a small 1.2B model.",
"context_length": 32768,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "Other",
"instruct_type": null
},
"pricing": {
"prompt": "0",
"completion": "0"
},
"top_provider": {
"context_length": 32768,
"max_completion_tokens": null,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"max_tokens",
"min_p",
"presence_penalty",
"reasoning",
"repetition_penalty",
"seed",
"stop",
"temperature",
"top_k",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"frequency_penalty": null
},
"expiration_date": null
}
}